Optimal PMU placement for voltage security assessment using decision tree

In this paper a Decision Tree method has been proposed for optimal PMU placement for voltage security assessment. In the proposed method the voltage security index for every operating point is calculated off-line. As a result, the system security status is determined for every operating point. Then the decision tree is trained using the database obtained from the previous stage. Simulation results show the efficiency of the proposed method comparing to other available methods such as artificial neural networks.

[1]  Wei-Yin Loh,et al.  Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..

[2]  Vijay Vittal,et al.  An Online Dynamic Security Assessment Scheme Using Phasor Measurements and Decision Trees , 2007 .

[3]  Yu Xiaodan,et al.  An improved voltage stability index and its application , 2005 .

[4]  R.T. Guttromson,et al.  Large-scale hybrid dynamic simulation employing field measurements , 2004, IEEE Power Engineering Society General Meeting, 2004..

[5]  H. Mori,et al.  A hybrid method of optimal data mining and artificial neural network for voltage stability assessment , 2005, 2005 IEEE Russia Power Tech.

[6]  J.F. Hauer,et al.  Current Status and Experience of WAMS Implementation in North America , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[7]  V. A. Venikov,et al.  Estimation of electrical power system steady-state stability in load flow calculations , 1975, IEEE Transactions on Power Apparatus and Systems.

[8]  D. Hill,et al.  Fast calculation of a voltage stability index , 1992 .

[9]  N. Kakimoto,et al.  Monitoring of interarea oscillation mode by synchronized phasor measurement , 2006, IEEE Transactions on Power Systems.

[10]  A.G. Phadke,et al.  Real-time estimation of security from voltage collapse using synchronized phasor measurements , 2004, IEEE Power Engineering Society General Meeting, 2004..

[11]  J.H. Chow,et al.  Synchronized phasor data based energy function analysis of power transfer paths , 2006, 2006 IEEE Power Engineering Society General Meeting.

[12]  Y. Tamura,et al.  Relationship Between Voltage Instability and Multiple Load FLow Solutions in Electric Power Systems , 1983, IEEE Transactions on Power Apparatus and Systems.

[13]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[14]  Robert J. Thomas,et al.  A posturing strategy against voltage instabilities in electric power systems , 1988 .

[15]  H. Glavitsch,et al.  Estimating the Voltage Stability of a Power System , 1986, IEEE Transactions on Power Delivery.

[16]  J.F. Hauer,et al.  Performance of "WAMS East" in providing dynamic information for the North East blackout of August 14, 2003 , 2004, IEEE Power Engineering Society General Meeting, 2004..

[17]  Bharat Bhargava,et al.  Monitoring power system dynamics using phasor measurement technology for power system dynamic security assessment , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[18]  K. Morison,et al.  Power system security assessment , 2004, IEEE Power and Energy Magazine.

[19]  Miroslav Begovic,et al.  Voltage Stability Protection and Control Using a Wide Area Network of Phasor Measurements , 2002, IEEE Power Engineering Review.